526 citations · 570 across the 4 of their papers we have counts for
4 papers
Non-distributional Word Vector Representations
Manaal Faruqui, Chris Dyer
Data-driven representation learning for words is a technique of central importance in NLP. While indisputably useful as a source of features in downstream tasks, such vectors tend…
Sparse Overcomplete Word Vector Representations
Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama +2
Current distributed representations of words show little resemblance to theories of lexical semantics. The former are dense and uninterpretable, the latter largely based on familia…
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer, Miguel Ballesteros, Wang Ling +2
We propose a technique for learning representations of parser states in transition-based dependency parsers. Our primary innovation is a new control structure for sequence-to-seque…
Unsupervised POS Induction with Word Embeddings
Chu-Cheng Lin, Waleed Ammar, Chris Dyer +1
Unsupervised word embeddings have been shown to be valuable as features in supervised learning problems; however, their role in unsupervised problems has been less thoroughly explo…